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Advances in image compression and automatic target recognition; Proceedings of the Meeting, Orlando, FL, Mar. 30, 31, 1989Various papers on image compression and automatic target recognition are presented. Individual topics addressed include: target cluster detection in cluttered SAR imagery, model-based target recognition using laser radar imagery, Smart Sensor front-end processor for feature extraction of images, object attitude estimation and tracking from a single video sensor, symmetry detection in human vision, analysis of high resolution aerial images for object detection, obscured object recognition for an ATR application, neural networks for adaptive shape tracking, statistical mechanics and pattern recognition, detection of cylinders in aerial range images, moving object tracking using local windows, new transform method for image data compression, quad-tree product vector quantization of images, predictive trellis encoding of imagery, reduced generalized chain code for contour description, compact architecture for a real-time vision system, use of human visibility functions in segmentation coding, color texture analysis and synthesis using Gibbs random fields.
Document ID
19900052896
Document Type
Conference Proceedings
Authors
Tescher, Andrew G. (Lockheed Research Laboratories Palo Alto, CA, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1989
Subject Category
CYBERNETICS
Report/Patent Number
SPIE-1099
Meeting Information
Advances in Image Compression and Automatic Target Recognition(Orlando, FL)
Distribution Limits
Public
Copyright
Other